SciQLop: A Tool Suite for Multi-Mission High-Resolution In-Situ Data Analysis in the Heliophysics Community

Analyzing multi-instrument, multi-mission in-situ space physics data presents significant challenges, hindering scientific progress. The SCIentific Qt application for Learning from Observations of Plasmas (SciQLop) addresses these challenges by providing a comprehensive tool suite  for simplified data discovery, retrieval, visualization, and analysis. SciQLop facilitates access to data from remote servers like CDAWeb and AMDA via tools like Speasy. Crucially, SciQLop integrates with event catalogs through TSCat and its associated GUI, allowing users to define and search for specific events and then seamlessly access the corresponding data across multiple instruments and missions. This poster demonstrates how SciQLop facilitates massive in-situ data analysis and event-based studies, empowering researchers to focus on scientific interpretation and accelerate discovery in space physics.